Fiberplane

fp - Agent-native issue tracking

[Fiberplane @fiberplane]

we’ve been building FP, the agent-native issue tracking for @claudeai Code

plan with your agent -> specs & issues in markdown -> review diffs in story mode
local-first (cloud sync coming soon!). keyboard-first. agent-first.

check it out: https://t.co/Lk1gQmsjAa

[Micha "mies" Hernandez van Leuffen @mies]

We've been building FP; agent native issue tracking for @claudeai Code (for now!). https://t.co/jLtBD7y0gT

Plan with your agent to create specs and issues (all in markdown) with the CLI, and review the diffs in story mode using the Mac app. Check out the demo and chat with @lastgoodhandle and @_laurynas

[Fiberplane @fiberplane]

Otter: an opinionated monorepo template for autonomous agent workflows.
Ships with:

- @EffectTS_ conventions + ast-grep enforcement
- fp issue tracking with lifecycle hooks
- Drift documentation anchoring
- Agent skills pre-configured

Everything we learned building with agents in production, packaged as a starter template:
🔗https://t.co/Tq3NwEtop4

[Fiberplane @fiberplane]

We've been running Claude Code autonomously on our codebase for months.

The trick: enforcement that prevents errors from compounding across commits.

- fp issue tracking with lifecycle hooks
- @EffectTS_ traces
- Drift-anchored QA scenarios
- Commit discipline before context compaction

How we built guardrails for agentic development
https://t.co/uHcWcK30Va

[Fiberplane @fiberplane]

Sandboxes for Coding Agents | Forward Planning #12 https://t.co/NFPvEEvoXq

[Fiberplane @fiberplane]

Feedback Loops for AI Agents | Forward Planning #11 https://t.co/Xjl01FWAa5

[Fiberplane @fiberplane]

get started https://t.co/CIGImlHFdD

[Fiberplane @fiberplane]

fp has a new look ✨

from prompt to shipped task - break a feature into scoped issues, and let your agent handle the rest. context survives /clear, work stays sane.

have you tried it yet?

[Fiberplane @fiberplane]

check it out https://t.co/nGxD3OJzVm

[Fiberplane @fiberplane]

"Do we have AI Psychosis?" and Other Musings | Forward Planning #10 https://t.co/HK3GXNbesv

[Fiberplane @fiberplane]

https://t.co/oSnIYVXB4R

[Fiberplane @fiberplane]

AI agents don’t get better when you prompt them better. They get better when the codebase is explicit enough to constrain them.

Learn how we build with Claude Code at Fiberplane - @EffectTS_ , ast-grep, Drift. Read more on our blog in the comments section.

[Fiberplane @fiberplane]

Managing Multiple Agents with tmux and cmux | Forward Planning #9 https://t.co/LtFfOfhGuu

[Fiberplane @fiberplane]

Self-Driving Codebases in Practice | Forward Planning #8 https://t.co/nQtznz9Ggk

[Fiberplane @fiberplane]

Building a Self-Driving Codebase | Forward Planning #7 https://t.co/ooKd5ZQty5

[Fiberplane @fiberplane]

https://t.co/JAIVS0zLai

[Fiberplane @fiberplane]

We built Drift, a linter for documentation rot.

Drift is a CLI tool that anchors markdown docs to source code by inserting anchors. When the code underneath changes, drift check flags it so your agents can update it as well.

And it's open source.

Check the blog post in the comments.

[Fiberplane @fiberplane]

Last night we hosted an evening of talks on design and AI.

Three ideas that stuck:
-> User extensibility is a key design feature in the AI world @mies @lastgoodhandle @_laurynas
-> Designers who look to answer unclear and uncertain questions are still relevant, even as prototyping gets cheaper @steveruizok
-> Design is shifting from farming to gardening @krijnrijshouwer

[Fiberplane @fiberplane]

Do We Even Need Code Review Anymore? | Forward Planning #6 https://t.co/A0YLSEbNAA

[Fiberplane @fiberplane]

🎙️ Speaker lineup is complete for Design after AI on the 19th of March.

@mies from @fiberplane
@steveruizok from @tldraw
@krijnrijshouwer from @lemni

Talks, demos & real conversations in Amsterdam. Is this the golden age of software or its fading twilight? Come find out.

📍 Fiberplane office

RSVP now: https://t.co/RHez1PD0wC